Comparative Study of Data Analytics Tools for Effective Business Decision

Comparative Study of Data Analytics Tools for Effective Business Decision

Authors

  • Prince Tripathi
  • Chetan Bajaj
  • Meet Bhanvadia
  • Vaishnavi Parsekar
  • Vikas Magar

Keywords:

analytics tools, business decision-making, data visualization, data sources, scalability, cost, customer support

Abstract

Businesses today have access to a variety of analytics tools that can assist them in making educated decisions because of the quick improvements in technology. But selecting the best tool for a certain business purpose might be overwhelming with so many possibilities available. This paper presents a comparative study of some popular analytics tools, namely Microsoft Power BI, Tableau, QlikView, SAP Analytics Cloud, Google Analytics, and IBM Watson Analytics, to help businesses choose the best analytics tool for their specific requirements. The comparison is based on features such as data visualization, ease of use, data sources, scalability, cost, and customer support. Our results show that Tableau is the most comprehensive analytics tool, while Microsoft Power BI and QlikView are better suited for smaller businesses. Google Analytics is ideal for website analytics, while SAP Analytics Cloud is recommended for enterprises that use SAP systems. IBM Watson Analytics, though offering advanced analytics capabilities, falls behind in terms of ease of use.

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References

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Additional Files

Published

30-05-2023

How to Cite

Prince Tripathi, Chetan Bajaj, Meet Bhanvadia, Vaishnavi Parsekar, & Vikas Magar. (2023). Comparative Study of Data Analytics Tools for Effective Business Decision. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 8(si7), 461–486. Retrieved from https://vidhyayanaejournal.org/journal/article/view/837
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